Patronus AI vs Zenity

Both compete in Red-Teaming & AI Security. Patronus AI positions itself as “Automated evaluation, guardrails, and judges for LLM and agent reliability”, while Zenityleads with “Security and governance platform purpose-built for AI agents across SaaS, cloud, and endpoints”. The table below compares what each publishes.

Where Patronus AI pulls ahead

Publishes support for NIST AI RMF, which Zenity does not. ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps

Where Zenity pulls ahead

Enterprises adopting AI agents and low-code platforms that need centralized security posture management and response

	Patronus AI	Zenity
Positioning	Automated evaluation, guardrails, and judges for LLM and agent reliability	Security and governance platform purpose-built for AI agents across SaaS, cloud, and endpoints
Category	Red-Teaming & AI Security	Red-Teaming & AI Security
Frameworks	NIST AI RMF	None published
Deployment	SaaS, API	SaaS, Cloud, API
Built for	Data Science / ML, Risk, Compliance	Security, Risk, GRC
Founded	2023	2021
Headquarters	San Francisco, California, USA	Tel Aviv, Israel
Ownership	Independent, venture-backed	Private (VC-backed)
Funding	$17M Series A (2024) led by Notable Capital, with Lightspeed and Datadog (~$20M total); subsequent Series B reported	$59.5M total; $38M Series B in October 2024 led by Third Point Ventures and DTCP, with M12, Intel Capital and Vertex Ventures
Pricing	Commercial SaaS / usage-based; some open evaluators and models available	Not published
Key capabilities	Automated LLM evaluation and benchmarking Adversarial test-case generation Lynx hallucination detection and judge models Percival agent debugging Runtime guardrails PII, safety and compliance checks	AI agent discovery and inventory AI security posture management Real-time threat detection and response Prompt injection and hijacking prevention Low-code/no-code app security Shadow AI visibility
Integrations	OpenAI, Anthropic, Bifrost gateway, Common ML/LLM stacks via API	Microsoft Copilot Studio, Microsoft Power Platform, Salesforce, ServiceNow
Notable customers	None published	None published
Best for	ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps	Enterprises adopting AI agents and low-code platforms that need centralized security posture management and response
Limitations	More an evaluation/observability platform than a hardened security firewall; deepest value requires building evaluation into workflows; younger company still expanding enterprise features	Strongest around enterprise agent/low-code ecosystems; less focused on standalone model red teaming or compliance certification.

Which should you shortlist?

Choose Patronus AI if mL and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps

Choose Zenity if enterprises adopting AI agents and low-code platforms that need centralized security posture management and response

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full Patronus AI profile →Full Zenity profile →

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